Speaker
Description
NuGraph3 is a hierarchical Graph Neural Network (GNN) architecture for event reconstruction in neutrino physics experiments, utilized across a range of Liquid Argon Time Projection Chamber (LArTPC) experiments including MicroBooNE, ICARUS, SBND and DUNE. This third-generation architecture leverages a range of different decoders to predict multiple outputs simultaneously on a heterogeneous graph structure, including semantically labelling detector hits, removing background noise, clustering hits into particles, and predicting event-level quantities such as neutrino event vertex and interaction type. This talk will present recent developments to refine the clustering task, in order to provide a full end-to-end event reconstruction from low-level inputs.
| Contribution types | Standard talk (20min + 5min Q/A) |
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